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People used to think it's harder to make computers play chess (or Jeopardy) and do mathematics than it is to make them understand human language. Turns out the opposite is true -- yes, engineers have made great advancements in voice recognition (Siri and Google voice commands are perfect examples)

2 months ago 0 Comments
October 18, 2014 at 10:36AM
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The vocabulary we use to describe music can be tough enough for a human to grok (really, what does it mean when a guitar riff is \"crunchy\"?) but a team of tinkerers from Birmingham City University aren't interested in helping people understand that language. Nope -- instead, they've cooked up a wa

3 months ago 0 Comments
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As surely as the seasons turn and the sun races across the sky, the Large Scale Visual Recognition Competition (or ILSVRC2014, for those in the know) came to a close this week. That might not mean much to you, but it does mean some potentially big things for those trying to teach computers to \"see

4 months ago 0 Comments
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Voice control is easy to find in cars, but it's not always intuitive. You often have to use specific syntax, which might be hard to remember when you're barreling down the highway. GM may have a smarter approach in store, though. The Wall Street Journal understands that the automaker is working wi

5 months ago 0 Comments
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Google spits out about 4 million search results per minute (among many other duties), which consumes a lot of energy. According to a recent blog, it cut its electrical bills significantly by applying the same kind of machine learning used in speech recognition and other consumer applications. A da

6 months ago 0 Comments
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DARPA wants to let you all know that its plans for the robot apocalypse are still going strong. The agency's got IBM working on the brains, has an RFI out on the skin, and is handling propulsion and motor control in-house. Next up? Eyeballs. In order to give its robots the same sort of \"visual inte

4 years ago 0 Comments